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A novel approach for measuring bubbles uniformity and mixing efficiency in a direct contact heat exchanger

Author

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  • Fei, Yu
  • Xiao, Qingtai
  • Xu, Jianxin
  • Pan, Jianxin
  • Wang, Shibo
  • Wang, Hua
  • Huang, Junwei

Abstract

This paper presents a straightforward method for assessing the uniformity and mixing time of bubbles based on uniform design in a direct contact heat exchanger. The evolution of bubbles movement is experimentally tracked using an imaging technique that is processed in the Matlab software to obtain the local bubble concentration. The local discrepancy of a set of bubbles seems to be a useful concept to measure the difference between theory and empirical distribution. The UC (uniformity coefficient) is associated with a discrepancy, leading to a useful parameter to characterise the mixture homogeneity and mixing time. To determine the impact of expressions, iteration steps and pixels on the measurement, evolution of UC response frames are investigated. The mixing time and uniformity obtained by UC method were compared with data obtained by Betti numbers method. The simulations and experiments between local and global uniform (with the same Betti numbers) are discussed and examples are given for illustration. The results show that the space-time features of the mixing process have been successfully derived by UC method. The UC curves bring new insights to study and compare mixing efficiency of different systems, which has a high degree of reliability, and can yield accurate mixing information.

Suggested Citation

  • Fei, Yu & Xiao, Qingtai & Xu, Jianxin & Pan, Jianxin & Wang, Shibo & Wang, Hua & Huang, Junwei, 2015. "A novel approach for measuring bubbles uniformity and mixing efficiency in a direct contact heat exchanger," Energy, Elsevier, vol. 93(P2), pages 2313-2320.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:2313-2320
    DOI: 10.1016/j.energy.2015.10.126
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    References listed on IDEAS

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    1. Shin, Sangwoo & Choi, Geehong & Kim, Beom Seok & Cho, Hyung Hee, 2014. "Flow boiling heat transfer on nanowire-coated surfaces with highly wetting liquid," Energy, Elsevier, vol. 76(C), pages 428-435.
    2. Mahood, Hameed B. & Sharif, A.O. & Al-Aibi, S. & Hawkins, D. & Thorpe, R., 2014. "Analytical solution and experimental measurements for temperature distribution prediction of three-phase direct-contact condenser," Energy, Elsevier, vol. 67(C), pages 538-547.
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    Cited by:

    1. Bin Yang & Xin Zhu & Boan Wei & Minzhang Liu & Yifan Li & Zhihan Lv & Faming Wang, 2023. "Computer Vision and Machine Learning Methods for Heat Transfer and Fluid Flow in Complex Structural Microchannels: A Review," Energies, MDPI, vol. 16(3), pages 1-24, February.
    2. Jun Yang & Biao Li & Hui Sun & Jianxin Xu & Hua Wang, 2023. "Experimental Measurement and Theoretical Prediction of Bubble Growth and Convection Heat Transfer Coefficient in Direct Contact Heat Transfer," Energies, MDPI, vol. 16(3), pages 1-19, January.
    3. Paweł Madejski & Tomasz Kuś & Piotr Michalak & Michał Karch & Navaneethan Subramanian, 2022. "Direct Contact Condensers: A Comprehensive Review of Experimental and Numerical Investigations on Direct-Contact Condensation," Energies, MDPI, vol. 15(24), pages 1-31, December.

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